Agent skill · marketing growth · refoundai
measuring-pmf
Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.
Why this skill is useful
Provides a structured approach to measuring product-market fit using specific benchmarks and qualitative insights that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-07-16. 1,223 stars on the source repository.
What this skill does
Measuring Product-Market Fit Transition from pushing your product to feeling the market pull it out of you. Help the user with measuring product-market fit using insights from 16 guests and posts across Lenny's Podcast and Newsletter. How to Help 1. Diagnose the current stage - Determine where the user is on the journey from pre-product validation to scalable growth. 2. Apply quantitative benchmarks - Evaluate cohort retention and Sean Ellis scores against industry standards. 3. Analyze market pull - Identify signals of organic demand versus founder-led momentum. 4. Iterate based on feedback - Help prioritize roadmap changes that specifically drive toward retention for the most passionate users. Core Principles Standardize Quantitative Validation Jag Duggal: "We rarely scale a project, a product we've launched, until we know the Sean Ellis score and we know that it's hit a threshold that we find really compelling." Use an objective threshold like the Sean Ellis score to validate fit before scaling. Set a strict target of at least 40 percent of users feeling very disappointed if the product disappeared. Look for Urgent Feedback Raaz Herzberg: "We really felt the type of questions change, right? Silly. The call sounded like, again, "How are you pricing this, or when can we start doing a POV?" I think naturally, as human beings, you have a bias to look for affirmation, versus a bias for what you don't want to hear." True fit is revealed when customer feedback shifts from polite interest to urgent, practical questions about pricing and implementation. Treat generic interest as a negative signal. Listen Selectively Rahul Vohra: "You have to deliberately not act on the feedback of many of your early users, and this is at the same time as listening to people intensely and building what people want." Ignore feedback from most users to focus exclusively on the segment that would be very disappointed without your product. Double down on what that specific cohort loves. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills refoundai/measuring-pmf